Sentence examples for models to predict the behaviour of from inspiring English sources

Closed-form mechanical models to predict the behaviour of complex structural systems often are unavailable.

Using these models to predict the behaviour of important state variables given particular parameter values has been extensively studied.

This point is worth emphasizing because it enshrines the principle of dynamic similarity, which is heavily relied on by engineers whenever they use results obtained with models to predict the behaviour of much larger structures.

The importance of focusing on the research of viable models to predict the behaviour of structures which may possess in some cases complex geometries is an issue that is growing in different scientific areas, ranging from the civil and mechanical engineering to the architecture or biomedical devices fields.

Along with experimental studies, many researches have utilised finite element models to predict the behaviour of FRP strengthened beam column subassemblies (Parvin and Granata 2000; Wong and Vecchio 2003; Mahini and Ronagh 2009; Alhaddad et al. 2012; Shrestha et al. 2013).

This work highlights the promise of combining deliberate data generation with data-driven modelling to predict the behaviour of complex dynamical systems.

More broadly, the study reveals the potential of combining deliberately generated data with data-driven modelling to predict the behaviour of complex dynamical systems.

Prabha et al. (2008) investigated the applicability of Frye and Morris (1975) polynomial model to predict the behaviour of TSA connection.

These data are not sufficient to build thermodynamic models able to predict the behaviour of the considered systems.

This paper focuses on a 3D model developed to predict the behaviour of CFRP concrete composites under fire.

Particularly, in transportation domain, there have been many applications of discrete choice modeling techniques to predict the behaviour of users consuming transportation systems or services.